A next-generation spatial light modulator for mapping of neural networks

Information

  • Research Project
  • 9255050
  • ApplicationId
    9255050
  • Core Project Number
    R44EB021054
  • Full Project Number
    2R44EB021054-02
  • Serial Number
    021054
  • FOA Number
    PA-15-269
  • Sub Project Id
  • Project Start Date
    9/27/2015 - 8 years ago
  • Project End Date
    7/31/2018 - 6 years ago
  • Program Officer Name
    SHABESTARI, BEHROUZ
  • Budget Start Date
    9/27/2016 - 7 years ago
  • Budget End Date
    7/31/2017 - 7 years ago
  • Fiscal Year
    2016
  • Support Year
    02
  • Suffix
  • Award Notice Date
    9/27/2016 - 7 years ago

A next-generation spatial light modulator for mapping of neural networks

Boulder Nonlinear Systems (BNS) and Prof. Edward Boyden?s Synthetic Neurobiology Group at the Massachusetts Institute of Technology (MIT) Media Lab propose to develop a new liquid crystal spatial light modulator (SLM) capable generating high resolution holograms to overcome the ?imaging gap? that currently divides cellular-level optogenetic techniques and whole brain techniques to improve functional mapping/dissection of complex brain networks. This effort builds upon the successful Phase I effort, in which new modeling techniques were developed to guide this Phase II hardware development. Whole brain imaging techniques, such as functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI), are powerful tools for visualizing neural activity and connections, respectively, across regions of the brain, however their spatial resolution is limited to the millimeter scale and therefore they cannot resolve individual neurons. Meanwhile, optical imaging and photostimulation provide complimentary tools that allow not only direct imaging of neurons and their action potentials, but also the ability to directly stimulate action potentials, all with single cell resolution over small sub-millimeter volumes. This disconnect between the length-scales of whole brain imaging and optical techniques, the so-called ?imaging gap?, is one of the critical barriers to understanding how coherent states arise from the activity of neuronal ensembles. In Phase I, BNS and MIT worked with Zemax, Inc. to develop a new optical modeling capability able to simulate holographic microscopy with pixelated phase-modulating SLMs. Using this new modeling capability, BNS identified the barriers to closing the imaging gap by holographically addressing a 1×1×0.5 mm3 volume of tissue. Specifically, we identified the need for a new SLM that optimally balances the trade-offs between addressable field of view, resolution, and switching speed and for corrective optics that undo the lateral chromatic dispersion experienced by the ultrashort laser pulses used for deep tissue microscopy. In Phase II, BNS will develop a next-generation SLM consisting of a 12 V 1280×1280 pixel backplane designed to achieve or exceed 1 ms switching speed. This device will be delivered via custom corrective optics into a commercial microscope at MIT for demonstration of holographic interrogation of neuronal ensembles over a 1×1×0.5 mm3 volume of tissue.

IC Name
NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING
  • Activity
    R44
  • Administering IC
    EB
  • Application Type
    2
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    523357
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    286
  • Ed Inst. Type
  • Funding ICs
    NIBIB:523357\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    BOULDER NONLINEAR SYSTEMS, INC.
  • Organization Department
  • Organization DUNS
    602673188
  • Organization City
    LAFAYETTE
  • Organization State
    CO
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    800268878
  • Organization District
    UNITED STATES